At a Glance
- Tasks: Transform environmental data into reliable datasets for innovative water protection solutions.
- Company: Join Kohtari, a pioneering tech company focused on safeguarding our waters.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative team environment with a mission-driven focus on sustainability.
- Why this job: Make a real impact on global water quality and ecosystem health.
- Qualifications: Experience with Microsoft Fabric, Python, and modern AI tools.
The predicted salary is between 36000 - 60000 £ per year.
Ever wanted to transform how the world sees and safeguards its waters? At Kohtari, that’s Our Mission. Our Vision: A world where every significant water body is digitally visible, understood and protected — ensuring resilient ecosystems, healthier communities and a thriving blue economy. Our Purpose: To pioneer globally scalable solutions for the smart stewardship of our planet. Kohtari is building a world’s first multimodal AI foundation model for water quality intelligence — integrating drone, IoT, laboratory and many other datasets, we’re helping water utilities move from reactive monitoring to predictive protection. We’re a Microsoft-aligned environmental intelligence company on a mission to make every significant water body digitally visible — protecting ecosystems, improving operational resilience, and restoring public trust in water.
The Role
We’re looking for a hands‑on Data & AI Product Engineer to build, test and refine our data pipelines and support rapid product delivery across our UIs. You’ll work closely with the CTO and the wider team to turn raw environmental data into clean, reliable, well‑documented ‘gold’ datasets that power the product.
What You’ll Do
- Build solid ingestion patterns with orchestration, retries, idempotency and reproducibility.
- Create and refine Fabric notebooks and data pipelines to move data from bronze to gold.
- Implement data quality checks and monitoring so issues are resolved quickly.
- Put cost and performance guardrails in place for Fabric workloads.
- Maintain clean, versioned gold tables and a single source of truth for consuming UIs.
- Support UI/product builds by exposing stable APIs and well‑defined datasets.
About You
- Microsoft Fabric (data pipelines, notebooks, Spark, OneLake/Gen2 hierarchical storage, Parquet).
- Azure App Services / Web API patterns and Azure SQL.
- Python and FastAPI (or similar) for building data services.
- Comfortable with JSON, OpenAPI, CSV and data interchange formats.
- Experience using modern AI tooling (e.g., OpenAI / ChatGPT, Anthropic) to accelerate delivery while maintaining engineering quality.
- Pragmatic, delivery-focused mindset with strong debugging and documentation habits.
Data & AI Product Engineer in Newark on Trent employer: Kohtari
At Kohtari, we are not just an employer; we are a community dedicated to transforming water stewardship through innovative technology. Our collaborative work culture fosters creativity and growth, providing employees with unique opportunities to develop their skills while contributing to meaningful environmental solutions. Located in a vibrant area, we offer competitive benefits and a chance to be part of a mission-driven team that is making a tangible impact on the health of our planet.
StudySmarter Expert Advice🤫
We think this is how you could land Data & AI Product Engineer in Newark on Trent
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Kohtari.
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We think you need these skills to ace Data & AI Product Engineer in Newark on Trent
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Kohtari, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Kohtari. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Kohtari
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Kohtari!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
